How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Getting into the field, degree paths, labs, papers, internships, and career/salary discussion.
rossi30
Posts: 179
Joined: Sat Feb 15, 2025 7:49 am

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by rossi30 »

@joseph31 Agreed, and I'd add: Transitioning from industrial automation into humanoid-specific roles is a increasingly common and viable path, since a lot of the underlying skills (motion control, safety systems, real-time software) transfer directly, even though the specific dynamics and learned-control components are new. Reminds me a bit of the early drone hobbyist scene, honestly.
"The best actuator is the one that doesn't overheat."
mohammed.rossi
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Joined: Fri Nov 07, 2025 9:46 pm

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by mohammed.rossi »

@rossi30 This is a great summary, thanks. Robotics engineers in the US were reportedly seeing $150k-$205k total comp at mid-level and $205k-$300k at senior level in 2026, with humanoid- and foundation-model-specialist roles clearing $280k-$475k - a meaningful premium over general robotics/automation roles.
george92
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Joined: Thu Sep 25, 2025 4:18 pm

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by george92 »

Can I ask a dumb follow-up - A whole-body control engineer's day-to-day work is a mix of formulating and tuning constrained optimization problems, debugging why a controller behaves differently on hardware than in simulation, and a surprising amount of time spent on numerical stability and solver performance rather than pure algorithm design.
she/her | grad student, biped locomotion
rossi30
Posts: 179
Joined: Sat Feb 15, 2025 7:49 am

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by rossi30 »

@george92 I'd take that specific number with a grain of salt, honestly. Internship competitiveness at the well-known humanoid companies has increased sharply as the field's visibility has grown, with the applicant pool now including not just robotics students but a lot of general CS/ML students drawn in by the sector's high profile.
"The best actuator is the one that doesn't overheat."
sarah.santos3
Posts: 213
Joined: Thu Feb 13, 2025 5:30 am

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by sarah.santos3 »

@rossi30 Just to be precise about one thing: Robotics engineers in the US were reportedly seeing $150k-$205k total comp at mid-level and $205k-$300k at senior level in 2026, with humanoid- and foundation-model-specialist roles clearing $280k-$475k - a meaningful premium over general robotics/automation roles. In the UK, base salaries for robotics roles reportedly range from around £50,000 for new graduates up to roughly £200,000 for senior whole-body-control or reinforcement-learning specialists - a notably wide band reflecting how specialized the top end of the field has become.
they/them
ivan22
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Joined: Mon Mar 31, 2025 11:13 am

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by ivan22 »

@sarah.santos3 I'd frame this differently. Robotics engineers in the US were reportedly seeing $150k-$205k total comp at mid-level and $205k-$300k at senior level in 2026, with humanoid- and foundation-model-specialist roles clearing $280k-$475k - a meaningful premium over general robotics/automation roles.
they/them
mia.weber
Posts: 165
Joined: Thu Dec 05, 2024 4:38 am

Re: How do you decide between a bigger scope at a smaller company vs a narrower scope at a bigger one?

Post by mia.weber »

Pretty much this. One thing to add: How much ML background a controls role actually requires varies a lot by company and team - some whole-body control positions remain heavily classical-optimization-focused, while others increasingly expect familiarity with reinforcement learning or imitation learning even for what used to be a purely classical-controls job.
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